Operate your serverless application with confidence. Achieve industry best practices.
Dashbird is the central data platform for your serverless environment. Logs, metrics, traces, and configuration data collected automatically for all serverless services (Lambda, DynamoDB, SQS, API Gateway, etc.).
We provide automatic collection and filtering of log data to detect all kinds of failure events. Code exceptions, timeouts, configuration errors, and other anomalies are found automatically. You get notified in real-time via Slack or email without any setup overhead.
Dashbird features 50+ continuous checks of all your resources that surface issues around performance, cost, security, and best practices. The platform acts as a Well-Architected lens for your serverless application.
Dashbird gives engineers and product teams the account level overview while enabling them to go deep into individual resource or transaction level.
As soon as you connect your AWS account, Dashbird will start analyzing CloudWatch log data and surfacing code and service level failures. The platform features an extensive collection of prebuilt filters, that detect code-level issues across all runtimes and also service-specific issues like timeouts and configuration errors.
The platform features a collection of over 70 best-practice checks, continuously surfacing opportunities to improve your cloud infrastructure.
Dashbird centralizes and transforms monitoring data from a lot of cloud services. This gives development teams convenient access to all data about their cloud infrastructure in one place. No code changes and no security issues.
Increase the quality of your service by getting observability, failure detection and efficient data interrogation from one platform.
Dashbird detects known and unknown failures across all cloud resources and offers a powerful alert and incident management platform to build your on-call process on.
Debug and analyse root causes of issues in seconds with access to real-time activity data. Dashbird breaks down silos between logs, metrics and traces.
Find and solve performance bottlenecks. Understand the implications of code changes and architecture modifications.
Monitor the cost of each cloud resource and find out how you can optimize them. Dashbird tells you if you have overprovisioned on unused resources and shows you where you're losing time and money.
Continuous security and posture checks across your serverless infrastructure, enforcing best practices, and reliable architecture.
Monitoring data is distributed in silos and very hard to navigate. Managed applications produce large amounts of logs, metrics and tracing data and the logic is distributed across many resources.
Failures are difficult to pin down. Known and unknown errors can happen in Lambdas or other services across your environment. Detecting them quickly is difficult.
Security, cost optimization, and best practices are hard to maintain. With so many new services and moving pieces, keeping on top of all the angles can be challenging.
Centralized and managed monitoring data. Dashbird automatically collects all necessary data from your application, makes it available through search and dashboards, and filters out meaningful events.
Automatic alert coverage. Dashbird continuously analyzes logs and metrics to detect errors and changes in application performance.
Continuous Well-Architected checks. Dashbird features over 60 rules and checks which it continuously monitors to provide actionable insights for best practices.
Our history and present are deeply rooted in building large-scale cloud applications on state-of-the-art technology. Dashbird was born out of our own need and we take pride in being developers.
Gus Gordon
Dashbird helped us refine the size of our Lambdas, resulting in significantly reduced costs. We have Dashbird alert us in seconds via email when any of our functions behaves abnormally. Their app immediately makes the cause and severity of errors obvious.
The use of serverless computing has become a must nowadays, and some of you may already know a thing or two about Amazon Web Services like Lambda Functions, Step Functions, and other services AWS provides. However, if this is the first time you hear about them – fantastic!
In this article, we’ll discuss AWS Step Functions, what they are used for, how to use them, and the advantages or disadvantages that they bring.
We cover the best practices when logging within AWS Lambda. Explaining how and why these ways will simplify your AWS Lambda logging.
Alright, we talked the “serverless is awesome” talk but now it’s about time to walk the walk. In the light of us launching our brand new website, we thought it would be fun to show you how to create a serverless website from scratch. In the next 15 minutes, we’ll take you through the entire process of creating your first website running on serverless and you better believe it’s going to be awesome.
Welcome to the final installment of our Complete AWS Lambda Handbook series! In part three of our series, we’ll cover Lambda deployment limitations, deployment package testing, cold starts, as well as observability, debugging, and monitoring AWS Lambda.
AWS DynamoDB changed the database game in Serverless and continues to do so, as its design repeatedly proves its huge value. In this post, you’ll find out everything you need to know to get started with DynamoDB.
